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Dimensional Engineer Jobs in Georgia (NOW HIRING)

Apex Informatics

DECAL Analytics Engineer

Atlanta, GA · On-site

Data Modeling: • Dimensional modeling • Real-time data modeling patterns Reporting & Visualization Support • Partner with BI developers to ensure data models are optimized for Power BI. • ...

Batchelor & Kimball

Database Engineer

Conyers, GA · On-site

Design and optimize data models, semantic models, dimensional models, and curated datasets to ... Automate data processes using data engineering best practices, CI/CD methods, version control ...

Batchelor & Kimball

Database Engineer

Conyers, GA · On-site

Design and optimize data models, semantic models, dimensional models, and curated datasets to ... Automate data processes using data engineering best practices, CI/CD methods, version control ...

Batchelor & Kimball

Database Engineer

Conyers, GA · On-site

$90 - $120/hr

Design and optimize data models, semantic models, dimensional models, and curated datasets to ... Automate data processes using data engineering best practices, CI/CD methods, version control ...

Batchelor & Kimball

Database Engineer

Conyers, GA · On-site

Design and optimize data models, semantic models, dimensional models, and curated datasets to ... Automate data processes using data engineering best practices, CI/CD methods, version control ...

ProArch

Data Engineer

Atlanta, GA · On-site

$120 - $180/hr

Advanced Data Engineering and Solution Design (80%) * Architect and implement scalable data ... Design and maintain enterprise dimensional data models including fact tables, conformed dimensions ...

Socket.dev

Data Engineer

Atlanta, GA · On-site

$120 - $180/hr

Advanced Data Engineering and Solution Design (80%) * Architect and implement scalable data ... Design and maintain enterprise dimensional data models including fact tables, conformed dimensions ...

New

ProArch

Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Advanced Data Engineering and Solution Design (80%) * Architect and implement scalable data ... Design and maintain enterprise dimensional data models including fact tables, conformed dimensions ...

ProArch

Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Advanced Data Engineering and Solution Design (80%) * Architect and implement scalable data ... Design and maintain enterprise dimensional data models including fact tables, conformed dimensions ...

The South Plains

Database Warehouse Developer

Atlanta, GA · On-site

$47.25 - $65/hr

Data Warehouse Developer Location: Atlanta, Georgia The Southeast Permanente Medical Group (TSPMG ... Develop and maintain ETL/ELT processes that support dimensional and fact table loading.

Premier Truck Rental

Senior Analytics Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Design and build the core dbt models and Sigma datasets/semantic models the business relies on, applying dimensional modeling standards and software engineering best practices (modularity, version ...

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Showing results 21-40

All JobsDimensional Engineer JobsDimensional Engineer Jobs in Georgia

Dimensional Engineer information

See Georgia salary details

$52.8K

$78.8K

$139.3K

How much do dimensional engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for dimensional engineer in Georgia is $78,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $92,900.00 per year, depending on experience, location, and employer.

What is a dimensional engineer?

A dimensional engineer works in manufacturing fields, particularly the automotive industry, and helps to design new or updated production processes through the analysis of data. As a dimensional engineer, your primary responsibilities include designing components for the assembly process to increase productivity and safety. Your daily duties may involve analyzing data, identifying problems in the manufacturing process, and documenting case studies. You may also perform statistical reporting and use simulation tools for planning.

What is a dimensional engineer?

A Dimensional Engineer is a professional who specializes in ensuring the accuracy and consistency of physical dimensions in manufactured products. They use advanced measurement techniques and tools to analyze parts, assemblies, and systems, ensuring they meet precise specifications and tolerances. Dimensional Engineers play a crucial role in quality control, working closely with design, manufacturing, and quality assurance teams to identify and resolve any discrepancies. Their work helps prevent costly errors, improve product performance, and maintain compliance with industry standards.

What are the key skills and qualifications needed to thrive as a dimensional engineer, and why are they important?

To thrive as a Dimensional Engineer, you need expertise in metrology, geometric dimensioning and tolerancing (GD&T), and a relevant engineering degree, often in mechanical or manufacturing engineering. Familiarity with coordinate measuring machines (CMMs), CAD software, and quality management systems is typically required, with certifications like ASME GD&T or Six Sigma being advantageous. Strong analytical thinking, attention to detail, and clear communication skills help you effectively interpret data and collaborate across teams. These abilities are crucial for ensuring product accuracy, minimizing defects, and maintaining high manufacturing standards.

How does a dimensional engineer typically collaborate with design and manufacturing teams during a project?

A Dimensional Engineer plays a key role in bridging design intent and manufacturing reality by working closely with both design and production teams. They review CAD models and engineering drawings to ensure dimensional accuracy, then communicate requirements and tolerances to manufacturing personnel. Regular meetings and feedback sessions help address any feasibility concerns early in the process. This collaboration ensures that parts meet quality standards while minimizing costly rework or delays.

What is the difference between Dimensional Engineer vs Mechanical Engineer?

AspectDimensional EngineerMechanical Engineer
Required CredentialsBachelor's in Engineering, certifications in CAD or measurement toolsBachelor's in Mechanical Engineering, often with PE license
Work EnvironmentManufacturing, aerospace, automotive, focusing on precision measurementsDesign, analysis, and testing across various industries
Industry UsageUsed in industries requiring tight tolerances and quality controlBroadly used in product design, development, and manufacturing

Dimensional Engineers specialize in precise measurements, quality control, and ensuring parts meet specifications, often working closely with manufacturing teams. Mechanical Engineers focus on designing, analyzing, and testing mechanical systems. While both roles require engineering degrees, Dimensional Engineers emphasize measurement and quality assurance, whereas Mechanical Engineers focus on product development and system functionality.

More about Dimensional Engineer jobs

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The most popular types of Dimensional Engineer jobs in Georgia are:

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For Dimensional Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Dimensional Engineer jobs in Georgia look for?

The top searched job categories for Dimensional Engineer jobs in Georgia are:

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For Dimensional Engineer jobs in GA, the most frequently searched job titles are:

Dimensional Engineer jobs near you
Infographic showing various Dimensional Engineer job openings in Georgia as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $78,835 per year, or $37.9 per hour.

DECAL Analytics Engineer

Apex Informatics

Atlanta, GA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Role: DECAL Analytics Engineer
Location: Atlanta, GA
JOB DESCRIPTION
3+ years of experience in data engineering or analytics engineering roles.
Required
3
Years
Advanced SQL: Proficiency in advanced SQL techniques for data transformation, querying, and optimization.
Required
3
Years
Azure Databricks (Spark, Delta Lake)
Required
3
Years
Microsoft Fabric (Dataflows, Pipelines, OneLake)
Required
3
Years
SQL and Python (Pandas, PySpark)
Required
3
Years
The Analytics Engineer will contribute to our modern data estate strategy by developing scalable data solutions using Microsoft Fabric and Azure Databricks. This role will be instrumental in building resilient data pipelines, transforming raw data into curated datasets, and delivering analytics-ready models that support enterprise-level reporting and decision-making.
Work Location & Attendance Requirements:
• Must be physically located in Georgia
• On-site: Tuesday to Thursday, per manager's discretion
• Mandatory in-person meetings:
o All Hands
o Enterprise Applications
o On-site meetings
o DECAL All Staff
• Work arrangements subject to management's decision
Key Responsibilities:
Data Engineering & Pipeline Development
• Build and maintain ETL/ELT pipelines using Azure Databricks and Microsoft Fabric.
• Implement medallion architecture (Bronze, Silver, Gold layers) to support data lifecycle and quality.
• Develop real-time and batch ingestion processes from IES Gateway and other source systems.
• Ensure data quality, validation, and transformation logic is consistently applied.
• Use Python, Spark, and SQL in Databricks and Fabric notebooks for data transformation.
• Delta Lake: Implementing Delta Lake for data versioning, ACID transactions, and schema enforcement.
• Integration with Azure Services: Integrating Databricks with other Azure services like Azure One Lake, Azure ADLS Gen2, and Microsoft fabric.
Data Modeling & Curation
• Collaborate with the Domain Owners to design dimensional and real-time data models.
• Create analytics-ready datasets for Power BI and other reporting tools.
• Standardize field naming conventions and schema definitions across datasets.
Data Governance & Security
• Apply data classification and tagging based on DECAL's data governance framework.
• Implement row-level security, data masking, and audit logging as per compliance requirements.
• Support integration with Microsoft Purview for lineage and metadata management.
Data Modeling:
• Dimensional modeling
• Real-time data modeling patterns
Reporting & Visualization Support
• Partner with BI developers to ensure data models are optimized for Power BI.
• Provide curated datasets that align with reporting requirements and business logic.
• Create BI dashboards and train users.
DevOps & Automation
• Support CI/CD pipelines for data workflows using Azure DevOps.
• Assist in monitoring, logging, and performance tuning of data jobs and clusters.
Required Qualifications:
• Bachelor's degree in computer science, Data Engineering, or related field.
• 3+ years of experience in data engineering or analytics engineering roles.
• Advanced SQL: Proficiency in advanced SQL techniques for data transformation, querying, and optimization.
• Hands-on experience with:
o Azure Databricks (Spark, Delta Lake)
o Microsoft Fabric (Dataflows, Pipelines, OneLake)
o SQL and Python (Pandas, PySpark)
o SQL Server 2019+
• Familiarity with data modeling, data governance, and data security best practices.
• Strong understanding of ETL/ELT processes, data quality, and schema design.
Preferred Skills:
• Experience with Power BI datasets and semantic modeling.
• Knowledge of Microsoft Purview, Unity Catalog, or similar governance tools.
• Exposure to real-time data processing and streaming architectures.
• Knowledge of federal/state compliance requirements for data handling
• Familiarity with Azure DevOps, Terraform, or CI/CD for data pipelines.
Certifications (preferred):
• Microsoft Fabric Analytics Engineer.
Soft Skills:
• Strong analytical and problem-solving abilities.
• Excellent communication skills for technical and non-technical audiences.
• Experience working with government stakeholders.

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